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"ABSTRAKMasalah penjadwalan kereta merupakan masalah optimasi yang termasuk dalam kelas NP-Complete. Masalah penjadwalan kereta di sini dibatasi pada sistem rel tunggal dimana kereta-kereta hanya boleh bersilangan di loop-loop persimpangan. Untuk menghindari tabrakan maupun tubrukan, ada kereta-kereta yang hams berhenti menunggu di loop-loop untuk bersilangan. Dalam praktek, masalah penjadwalan mi diharapkan dapat diselesaikan dalam waktu yang cepat. Oleh karena itu heuristik Greedy dikembangkan untuk menurunkan kriteria optimal lokal agar kereta-kereta tidak bertabrakan atau bertubrukan. Solusi fisibel yang mendekati optimal dapat diperoleh dengan cepat dalam polinomial waktu. Model yang diperoleh kemudian digeneralisasi untuk kecepatan kereta yang berbeda-beda. Kemudian dipilih biaya termurah yang berkaitan dengan keterlambatan akibat menunggu."

"Sekolah menengah di London, Inggris memiliki permasalahan dalam menempatkan murid-murid baru ke dalam grup-grup tutor. Dalam menempatkan murid-murid ke dalam grup tutor terdapat asumsi-asumsi yang harus diperhatikan agar terbentuk grup tutor yang sesuai dengan yang diharapkan. Karena waktu yang tersedia untuk pembentukkan grup tutor cukup singkat dan jika dilakukan secara manual membutuhkan waktu kerja yang cukup lama maka pada skripsi ini dilakukan penyelesaian secara heuristik dengan program komputer yang jika diimplementasikan akan meminimalkan waktu penempatan murid-murid ke dalam grup tutor.

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Secondary school in London, England has a problem in assigning new students into tutor groups. In assigning students into tutor groups, there are assumptions that must be taken to ensure that the tutor group formed as expected. Because the available time for the formation of a tutor group is quite short and if done manually takes quite a long time indeed. This skripsi is processed in heuristic solving with a computational program which will minimize the time of assignment of students into tutor groups if implemented correctly."

"Kontainer merupakan perangkat pengiriman barang yang umum digunakan dalam aktivitas logistik, dalam proses pengiriman barang dengan kontainer akan melalui proses container loading dan proses ini menjadi inti permasalahan dalam aktivitas logistik. Permasalahan penyusunan barang (bin packing problem) dalam proses container loading merupakan hal yang sangat penting dalam upaya memaksimalkan ruang container. Dikarenakan banyak ruang sisa pada container yang tidak termanfaatkan akibat penyusunan barang yang tidak optimal. Penelitian ini menerapkan metode optimasi dengan menggunakan algoritma genetika sebagai solusi dari permasalahan penyusunan barang ke dalam container dengan menggunakan dataset wtpack dari OR-Library. Dengan melalui proses pembangkitan populasi, setelah itu dilakukan proses tournament selection sebelum melalui proses crossover dan mutation untuk menghasilkan populasi baru digenerasi selanjutnya. hasil penelitian menunjukan bahwa algoritma genetika dapat memberikan solusi penyusunan barang yang optimal dengan meningkatnya nilai fitness dari generasi 1 sampai 100. Kemudian hasil optimasi divisualisasikan ke dalam bentuk 3 dimensi sebagai solusi akhir permasalahan penyusunan barang 3 dimensi (three-dimensional bin packing problem).

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Containers are goods delivery devices that are commonly used in logistics activities, in the process of shipping goods with containers, they will go through the container loading process and this process becomes the core of the problems in logistics activities. The bin packing problem in the container loading process is very important in an effort to maximize container space. Due to a lot of leftover space in the container that is not utilized due to the arrangement of goods that are not optimal. This study applies an optimization method using genetic algorithms as a solution to the problem of arranging goods into containers using the wtpack dataset from OR-Library. By going through the population generation process, after that a tournament selection process is carried out before going through a crossover and mutation process to produce a new population for the next generation. The results showed that the genetic algorithm can provide an optimal boxes arrangement solution by increasing the fitness value from generation 1 to 100. Then the optimization results are visualized in 3-dimensional form as the final solution for the three-dimensional bin packing problem."

"Acquisition Management of Deposit Collection Information System in Indonesia National Library has been used for 3 years (since January 2012). During the usage, the Group of Acquisition, Monitoring, and Evaluation of Deposit Sub Directorate found some obstacles include the unability of the system to detect double regist, a monotone display, too many menus and too many pages to get through before going to the desired page, the information resulted is not according to what needed, and the exsistance of backward analysis system which should be passed by a system when it has already been used. The data collection of this research used quessionaires which were spread among 17 system users that are the members Group of Acquisition, Monitoring, and Evaluation of Deposit Sub Directorate. The data analysis used student statistic examination of one sample. The result of the study was the need of improvement about SIM of Deposit Collection Acquisition of Indonesia National Library related to the usability of the system to fulfill the usability elements, and the repairment recommendation belong to the categories of: Learnability, improvement of response for fasten of data searching by query optimization involving related tables of data required and indexing based on the tag ID and repair on the arranging and the use of features to be adjusted with the needs of users based on their user ID and position authority. Efficiency, improvement of response for fasten the response of data searching by query optimization involving related tables of data required and indexing based on the tag ID and addition to be able to copy and modify existing data and increase the ability of the system that the function keys in the keyboard can be use in using the system. Easy to remember, the addition of the ability of the system that the keyboard function keys can be use in using the system. Error prevention, repair system's ability to identify errors and provide a message box or sign acclamation sign of error message containing an error message when the user made a mistake and adding dictionary menu associated with the terminology in the search box to avoid mistakes in typing. Satisfying, adding help menu that can provide guidance and can be followed when finding problem that help users to solve a problem"

"ABSTRAKSistem distribusi pada industri ritel di Indonesia memiliki kompleksitas tersendiri. Hal tersebut disebabkan oleh pertumbuhan dan produktivitas outlet ritel di Indonesia yang semakin berkembang dari tahun ke tahun. Kegiatan distribusi pada penelitian ini berkaitan dengan pembentukan rute kunjungan salesman dengan objek sejumlah 38.900 customer base outlet ritel. Oleh karena itu, studi kasus pada penelitian ini akan berpacu pada konsep TSP dan VRP serta memperhitungkan keseimbangan kerja dan pola kunjungan persoalan. Metode yang digunakan pada penelitian ini adalah balanced K-means dan MST-Prim rsquo;s Walk, yang terbukti dapat menyelesaikan persoalan dengan waktu komputasi yang singkat dengan hasil rute harian yang lebih seimbang dibandingkan kondisi saat ini.Kata Kunci :Balanced K-means, Minimum Spanning Tree, Algoritma MST Prim rsquo;s- Walk, VRP

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ABSTRACTDistribution system in the retail industry in Indonesia has its own complexity. This is due to growth and productivity of retail outlets in Indonesia are growing from year to year. Distribution activities in this study related to the formation of salesman visit routes with 38,900 customer base retail outlets. Therefore, the case studies in this research will be raced on the concept of TSP and VRP also take into account work balance and visitation patterns. The method used in this research is balanced K means and MST Prim rsquo s Walk, which is proven to solve the problem with a short computation time with the results of a more balanced daily route than current conditions. "

"[ABSTRAKMemilih pemimpin politik merupakan salah satu proses pengambilan keputusan yang palingsulit dilakukan. Dalam hal ini, masyarakat dihadapkan pada pengambilan keputusan yangjarang dilakukan (rata-rata satu kali per lima tahun) serta terdapat batasan waktu (waktupencoblosan) yang sempit untuk dapat menentukan pemimpin berdasarkan informasi terbatasyang didapatkan. Maraknya kasus korupsi dan kasus etik lainnya yang menimpa parapemimpin politik menunjukan bahwa masyarakat masih belum memilih pemimpin yangterbaik. Selain itu, banyak penelitian menyatakan bahwa jalan pintas kognitif digunakan olehhampir semua pemilih saat pemilihan pemimpin politik (Hafner-Burton dkk 2011; Lau danRedlawsk, 2001;Steenbergen, Hangarter dan de Vries, 2011). Hal ini dikarenakan, manusiamemiliki sumber daya kognitif yang terbatas, di sisi lain sangat sedikit masyarakat yangmemiliki waktu dan energi untuk mengembangkan jenis pengetahuan dan minat di bidangpolitik (Lau & Redlawks, 2013). Oleh karena itu, fokus penelitian intervensi ini yakni untukmeningkatkan kapasitas dari penyelenggara pemilu sebagai pihak yang bertugas dan berperanpenting dalam proses pemilihan pemimpin politik. Hasil uji statistik dekriptif menyatakanbahwa political efficacy partisipan pelatihan lebih renda pada saat sebelum intervensi (mean =3.2, sd = 0.5) dibandingkan dengan setelah intervensi (mean = 1.2, sd = 0.5). Selain itu,penelitian ini menyatakan bahwa partisipan memiliki kecanggihan politik khususnya dalammengidentifikasi heuristik dan bias dalam proses pemilihan pemimpin politik lebih rendah saatsebelum intervensi (mean = 1.2, sd = 0.5) dibandingkan dengan setelah intervensi (mean = 1.8,sd = 0.3).

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ABSTRACT

Choosing political leaders is one of the most difficult decision-making process. In this case,

society is being confronted with a rare decision (on average once every five years) and narrow

time limit (time of voting) to be able to determine the leader based on the limited information.

Rampant corruption and other ethical cases which affecting political leaders showed that

people still not able to choose the best leaders. In addition, many studies suggest that the

cognitive shortcuts used by almost all voters during the election of political leaders (Hafner-

Burton et al 2011; Lau and Redlawsk, 2001; Steenbergen, Hangarter and de Vries, 2011). This

is because humans have limited cognitive resources, on the other hand, only a few people who

have enough time and energy to develop the knowledge and interest in politics (Lau &

Redlawks, 2013). Therefore, the focus of this intervention study is to increase the capacity of

the election organizers as the party in charge and play the important role in the process of

selecting political leaders. Descriptive statistical test results stating that the political efficacy

of training participants is low before the intervention (mean = 3.2, sd = 0.5) compared to after

the intervention (mean = 1.2, sd = 0.5). In addition, this study stated that the participant has the

sophistication of politics especially in identifying heuristics and biases in the process of

selecting political leaders lower before the intervention (mean = 1.2, sd = 0.5) compared to

after the intervention (mean = 1.8, sd = 0.3)., Choosing political leaders is one of the most difficult decision-making process. In this case,

society is being confronted with a rare decision (on average once every five years) and narrow

time limit (time of voting) to be able to determine the leader based on the limited information.

Rampant corruption and other ethical cases which affecting political leaders showed that

people still not able to choose the best leaders. In addition, many studies suggest that the

cognitive shortcuts used by almost all voters during the election of political leaders (Hafner-

Burton et al 2011; Lau and Redlawsk, 2001; Steenbergen, Hangarter and de Vries, 2011). This

is because humans have limited cognitive resources, on the other hand, only a few people who

have enough time and energy to develop the knowledge and interest in politics (Lau &

Redlawks, 2013). Therefore, the focus of this intervention study is to increase the capacity of

the election organizers as the party in charge and play the important role in the process of

selecting political leaders. Descriptive statistical test results stating that the political efficacy

of training participants is low before the intervention (mean = 3.2, sd = 0.5) compared to after

the intervention (mean = 1.2, sd = 0.5). In addition, this study stated that the participant has the

sophistication of politics especially in identifying heuristics and biases in the process of

selecting political leaders lower before the intervention (mean = 1.2, sd = 0.5) compared to

after the intervention (mean = 1.8, sd = 0.3).]"