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Penerapan FCM dan TSK Untuk Penentuan Cluster Rawan Pangan di Kabupaten Cirebon Harliana Harliana; Azhari SN
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 6, No 2 (2012): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.2147

AbstrakKetahanan pangan merupakan salah satu prasyarat dasar yang harus dimiliki dalam rangka mewujudkan kesejahteraan masyarakat. Namun, pada kenyataannya meskipun kabupaten Cirebon termasuk salah satu pensuplai beras wilayah Jawa Barat masih ada beberapa desa yang justru mengalami rawan pangan. Minimnya indikator yang digunakan oleh BKP5K Kabupaten Cirebon dalam menentukan status rawan pangan dan tahan pangan masih menjadi kendala dalam penganalisaan penyebab rawan pangan. Penelitian ini mencoba mengembangkan sebuah sistem yang dapat membantu BKP5K Kabupaten Cirebon untuk penentuan cluster rawan pangan dan tahan pangan serta macam rekomendasi bantuannya melalui parameter indikator ketahanan dan kerawanan pangan yang telah ditentukan. Sistem ini dibangun dengan menggunakan metode Fuzzy C-Means untuk mengelompokkan daerah rawan pangan dan tahan pangan serta metode Takagi Sugeno Kang sebagai rulebase dalam pemberian rekomendasi bantuannya. Setelah melakukan pengujian pada 6 kasus uji, aspek yang paling berpengaruh pada penentuan desa rawan pangan yaitu aspek ketersediaan pangan, aspek akses pangan dan penghidupan, serta aspek kesehatan dan gizi. Sedangkan jumlah penduduk dibawah garis kemiskinan, desa yang tidak memiliki akses penghubung yang memadai, jumlah RT tanpa akses listrik, jumlah areal tanam yang terkena puso, serta jumlah buruh baik buruh tani dan swasta merupakan 5 indikator yang memiliki pengaruh penting dalam penentuan daerah rawan pangan. Kata kunci— Fuzzy C-Means, Fuzzy Takagi Sugeno Kang, rawan pangan, cluster AbstractFood security is one of the basic prerequisites that must be reserved in order to realize the welfare of society. Although the district Cirebon is one supplier of rice areas of West Java, there are still some villages experiencing food insecurity. The lack of indicators used by BKP5K Cirebon in determining the food insecurity is still a constraint in analyzing the causes of food insecurity. This study seeks to develop a system that can help BKP5K Cirebon to determine cluster food insecurity and advice assistance through a variety of parameters have been determined.The system is built using the Fuzzy C-Means method to classify the food insecurity and food stand andalso Takagi Sugeno Kang method asrulebase in the provision of assistance and advice. After testing 6thtest cases, the most influential aspectare: aspect food availability,aspect accessfood and livelihood, and also aspects of health and nutrition. While the number of people below the poverty line, the village with no access to adequate, the number of RT without access to electricity, the number of areas puso, and the number of workers are5thindicators that have an important influence in the determination of food-insecure areas. Keywords— Fuzzy C-Means, Fuzzy Takagi Sugeno Kang, Food insecurity, Cluster

GDSS Penentuan Lokasi Shelter Baru Transjogja Menggunakan Metode Brown-Gibson dan Borda Bhakti Susilo; Azhari SN
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 6, No 2 (2012): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.2153

AbstrakTujuan didirikannya armada bus Transjogja adalah untuk mengurai permasalahan kemacetan, polusi dan transportasi umum yang memadai. Untuk memberikan layanan yang terbaik, salah satu hal yang diusahakan adalah menempatkan shelter pada posisi yang tepat. Dinas perhubungan bekerja sama dengan instansi lain dalam pengumpulan aspirasi eksekutif untuk penentuan lokasi shelter baru.Kombinasi Metode Brown-Gibson dan Borda memungkinkan digunakan untuk pemilihan lokasi secara kelompok. Metode ini digunakan untuk memilih alternatif lokasi berdasarkan ukuran preferensi tertentu (preference measurement) dengan mempertimbangkan faktor obyektif dan faktor subyektifnya. Faktor obyektif berupa efektifitas biaya yaitu jumlah total biaya yang dikeluarkan untuk satu alternatif lokasi. Faktor subyektif berupa pembobotan para pengambil keputusan terhadap kriteria-kriteria yang disyaratkan dalam penentuan lokasi shelter baru. Kriteria tersebut antara lain lahan, posisi, akses ruang, persaingan, transportasi dan keamanan. Dalam penilaian faktor subyektif menggunakan model AHP.Hasil dari penelitian ini adalah GDSS dengan menggunakan metode Brown-Gibson dan borda terbukti dapat mengakomodasi preferensi dari banyak pembuat keputusan. Dengan keluaran berupa nilai preferensi lokasi dan rangking memudahkan DM menentukan pemilihan lokasi. Lokasi yang paling banyak memiliki rangking tertinggi lebih berpotensi sebagai lokasi shelter baru.Kata kunci— Lokasi, Brown-Gibson, Borda AbstractThe purpose of establishment of the Transjogja bus fleet is to solve the problems of congestion, pollution and adequate public transport. To provide the best service, one thing is to place the shelter afforded in the right position. Department of Communication, cooperate with other agencies in the collection of executive aspirations, for the determination of the location of the new shelter.The combinations of Brown-Gibson and Borda methods, possible used for site selection as a group. This method is used to select an alternative location based on the size of a particular preference (preference measurement) taking into account the objective factors and subjective factors. Objective factor in the form of cost effectiveness is the total amount of expenses incurred for an alternative location. Subjective weighting factor of the decision makers of the criteria required in determining the location of the new shelter. These criteria include land, position, and access to space, competition, transportation and security. In the assessment of subjective factors is using the AHP model.The result of this study is to GDSS using the Brown-Gibson method and Borda shown to accommodate the preferences of many decision makers. With the output of the value location preference and rankings, it facilitated DM to determine new location. Location that has the highest ranking is more potent as a location for a new shelter.Keywords— Location, Brown-Gibson, Borda

Peringkasan Sentimen Esktraktif di Twitter Menggunakan Hybrid TF-IDF dan Cosine Similarity Devid Haryalesmana Wahid; Azhari SN
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 10, No 2 (2016): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.16625

The using of Twitter by selebrities has become a new trend of impression management strategy. Mining public reaction in social media is a good strategy to obtain feedbacks, but extracting it are not trivial matter. Reads hundred of tweets while determine their sentiment polarity are time consuming. Extractive sentiment summarization machine are needed to address this issue. Previous research generally do not include sentiment information contained in a tweet as weight factor, as a results only general topics of discussion are extracted. This research aimed to do an extractive sentiment summarization on both positive and negative sentiment mentioning Indonesian selebrity, Agnes Monica, by combining SentiStrength, Hybrid TF-IDF, and Cosine Similarity. SentiStrength is used to obtain sentiment strength score and classify tweet as a positive, negative or neutral. The summarization of posisitve and negative sentiment can be done by rank tweets using Hybrid TF-IDF summarization and sentiment strength score as additional weight then removing similar tweet by using Cosine Similarity. The test results showed that the combination of SentiStrength, Hybrid TF-IDF, and Cosine Similarity perform better than using Hybrid TF-IDF only, given an average 60% accuracy and 62% f-measure. This is due to the addition of sentiment score as a weight factor in sentiment summarization.

Rancang Bangun Plugin Protégé Menggunakan Ekspresi SPARQL-DL Dengan Masukan Bahasa Alami Muhammad Fahrurrozi; Azhari SN
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 11, No 2 (2017): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.18360

Semantic web is a technology that allows us to build a knowledge base or ontology for the information of the web page can be understood by computers. One software for building ontology-based semantic web is a protégé. Protege allows developers to develop an ontology with an expression of logic description. Protégé provides a plugin such as DL-Query and SPARQL-Query to display information that involve expression of class, property and individual in the ontology. The problem that then arises is DL-plugin Query only able to process the rules that involve expression of class to any object property, despite being equipped with the function of reasoning. while the SPARQL-Query plugin does not have reasoning abilities such as DL-Query plugin although the SPARQL-Query plugin can query memperoses rules involving class, property and individual. This research resulted in a new plugin using SPARQL-DL with input natural language as a protégé not provide a plugin with input natural language to see results from the combined expression-expression contained in the ontology that allows developers to view information ontology language that is easier to understand without having think of SPARQL query structure is complicated.

Hospital Nurse Scheduling Optimization Using Simulated Annealing and Probabilistic Cooling Scheme Ferdi Chahyadi; Azhari SN; Hendra Kurniawan
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 12, No 1 (2018): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.23056

Nurse’s scheduling in hospitals becomes a complex problem, and it takes time in its making process. There are a lot of limitation and rules that have to be considered in the making process of nurse’s schedule making, so it can fulfill the need of nurse’s preference that can increase the quality of the service. The existence variety of different factors that are causing the nurse scheduling problem is so vast and different in every case. The study is aimed to develop a system used as an equipment to arrange nurse’s schedule. The working schedule obtained will be checked based on the constraints that have been required. Value check of the constraint falsification used Simulated Annealing (SA) combined with cooling method of Probabilistic Cooling Scheme (PCS). Transitional rules used cost matrix that is employed to produce a new and more efficient state. The obtained results showed that PCS cooling methods combined with the transition rules of the cost matrix generating objective function value of new solutions better and faster in processing time than the cooling method exponential and logarithmic. Work schedule generated by the application also has a better quality than the schedules created manually by the head of the room.

TOPSIS and SLR methods on the Decision Support System for Selection the Management Strategies of Funeral Land Yayang Eluis Bali Mawartika; Azhari SN; Agus Sihabuddin
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 13, No 2 (2019): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.39788

The funeral land is one of the public facilities that must be provided by Local Government to support community activities. The need for funeral land in Lubuklinggau continues to increase while the availability of funeral land is decreasing, this is because the number of deaths of the population continues to increase every year. Forecasting the land availability of funeral for the coming year and applying the management strategies of funeral land can overcome the needs of the cemetery. Forecasting the land availability of funeral using Simple Linear Regression. TOPSIS to choose the management strategies of funeral land. Forecasting uses two variables that are the variable number of the population deaths and the variable amount of funeral land in the last 5 years. Forecasting results will be used as one of the assessment criteria in the decision support system for selection of the management strategies of funeral land. The alternative of the funeral management strategy that will be applied and assessed in accordance with Local Regulation of Town of Lubuklinggau. The highest value of the end result of the system will be used as a recommendation for the selection of management strategies.

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