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All Journal International Journal of Electrical and Computer Engineering Jurnal Informatika JIK Jurnal Ilmu Komputer Jurnal Sistem Komputer BERKALA SAINSTEK Prosiding SNATIKA Vol 01 (2011) Journal of Agromedicine and Medical Sciences INFORMAL: Informatics Journal Jurnal Manajemen Kesehatan Indonesia UNEJ e-Proceeding Proceeding of the Electrical Engineering Computer Science and Informatics Management Analysis Journal JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research Health Notions Wikrama Parahita : Jurnal Pengabdian Masyarakat Indonesian Journal of Artificial Intelligence and Data Mining CARADDE: Jurnal Pengabdian Kepada Masyarakat SPIRIT Indonesian Journal of Global Health research Journal of Indonesia Road Safety Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Teknik Sumber Daya Air Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Pengabdian Pada Masyarakat JGGAG (Journal of Games, Game Art, and Gamification)
Saiful Bukhori
Lecturer, Faculty Of Computer Science, Universitas Jember
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Penerapan Metode Steepest Ascent Hill Climb pada Permainan Puzzle Hairul Anam; Feby Sabilhul Hanafi; Ahmad Fauzal Adifia; Ahmad Firdaus Ababil; Saiful Bukhori
INFORMAL: Informatics Journal Vol 3 No 2 (2018): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v3i2.9987

Abstract

Puzzle is one example of the application of artificial intelligence, in the process of completion there are many search algorithms that can be applied. The 8 puzzle solution will be faster obtained if the array principle is used with a variation of the Steepest-Ascent Hill Climbing (Hill Climbing algorithm by choosing the sharpest / steepest slope) with the correct heuristic parameters and distance heuristics and combined with LogList as the storage state ever passed to overcome the problems in the hill climbing algorithm itself and avoid the looping state that has been passed. Steepest Ascent Hill Climbing is an algorithm method that is widely used for optimization problems. The application of the SAHC (Steepest Ascent Hill Climbing) Algorithm to the puzzle is needed so that the game is completed with optimal time.
Implementasi Metode Hybrid AHP dan TOPSIS pada Sistem Pendukung Keputusan Pemilihan Lokasi Tempat Pembuangan Sampah Sementara Bayhaqqi Bayhaqqi; Saiful Bukhori; Gayatri Dwi Santika
INFORMAL: Informatics Journal Vol 6 No 2 (2021): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v6i2.25648

Abstract

Temporary Waste Disposal Site (TPSS) is a place to collect waste from various community activities which will later be transported to the final disposal site by garbage trucks. There are many considerations in choosing a TPSS location, so the selection of a TPSS location is very important in supporting the collection of waste that will be transported to final disposal. The Jember Regency Environmental Service is an agency in charge of waste management, including the selection of TPSS locations. Choosing the location of TPSS so far is still manual, where manual selection cannot be separated from human error, so that choosing the location of TPSS is not accurate can cause new problems in the community. In addition, there is no standardized assessment system in the TPSS selection process, so a decision support system is needed that can be used to assist the process of selecting the best TPSS location recommendations. In making this research system, we implemented the hybrid method of AHP and TOPSIS. Where the AHP method is used to determine the weight of the criteria while the TOPSIS method is used for the selection process for TPSS candidates.
FrontCover Saiful Bukhori
INFORMAL: Informatics Journal Vol 3 No 1 (2018): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

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Abstract

Pemecahan Puzzle Dengan Metode Steepest Ascent Hill Climb Ahmad Firdaus Ababil; Hairul Anam; Feby Sabilhul Hanafi; Ahmad Fauzal Adifia; Saiful Bukhori
INFORMAL: Informatics Journal Vol 2 No 3 (2017): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

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Abstract

Puzzle merupakan salah satu contoh penerapan dari kecerdasan buatan, dalam proses penyelesaiaanya banyak terdapat algoritma-algoritma pencarian yang dapat diterapkan. Solusi 8 puzzle akan lebih cepat diperoleh jika digunakan prinsip array dengan variasi algoritma Steepest-Ascent Hill Climbing (Hill Climbing dengan memilih kemiringan yang paling tajam / curam) dengan parameter heuristik posisi yang benar dan heuristik jarak serta dikombinasikan dengan LogList sebagai penyimpanan state-state yang pernah dilalui untuk menanggulangi permasalah pada algoritma hill climbing itu sendiri dan terhindar dari looping state yang pernah dilalui. Penerapan Algoritma SAHC (Steepest Ascent Hill Climbing) pada puzzle dibutuhkan agar permainan selesai dengan kecerdasan buatan. Steepest Ascent Hill Climbing merupakan metode algoritma yang banyak digunakan untuk permasalahan optimasi. Langkah-langkah dalam perhitungan SAHC (Steepest Ascent Hill Climbing) yaitu : (1) menghitung kotak yang menempati tempat yang benar, (2) hitung pergerakan yang memungkinkan. (3) mendapatkan nilai h(n) menggunakan perhitungan manual dengan menggunakan penjumlahan kotak yang menempati tempat yang benar, (4) membandingkan nilai heuristic dari pergerakan yang mungkin, (5) menerapkan alur pencarian algoritma SAHC (Steepest Ascent Hill Climbing) dengan nilai heuristik h(n) yang telah diperoleh.
Rear Cover Saiful Bukhori
INFORMAL: Informatics Journal Vol 2 No 1 (2017): INFORMAL: INFORMATICS JOURNAL
Publisher : Faculty of Computer Science, University of Jember

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Abstract

Strategi Menemukan Jalan Keluar Labirin dengan Waktu Tercepat Menggunakan Metode DFS Mustika Rahmasuci; Husnul Hotimatus Sahroh; Maulina Azizah; Putri Wulandari; Diah Adistia; Saiful Bukhori
INFORMAL: Informatics Journal Vol 2 No 3 (2017): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

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Abstract

Depth-first search algorithm are blind search process and deepen search follow a single track until found goal. Maze is complicated network way and tortuous, also have many deadlock. Maze often become a challenge in a game like puzzle, which one there’s an object in start position have find way out on specify position. in this journal we’ll discuss about utilization DFS on maze and fastest time to find way out.
Sistem Informasi Distribusi Cabai Dengan Metode Distribution Requirements Planning (DRP) di Provinsi Jawa Timur Nur Kholis Mansur; Saiful Bukhori; Oktalia Juwita
INFORMAL: Informatics Journal Vol 4 No 1 (2019): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v4i1.12288

Abstract

Chili production in East Java in 2016 reached nearly 2 million tons with details of 1 million tons of chili and large chili 939 thousand tons. The abundant amount of chili production is still the cause of inflation. The inflation factor is caused by several factors, one of which is the abundant amount of chili production but occurs in certain months or other causes are uneven distribution. The chili production center in East Java is still experiencing problems with distribution activities in meeting the demands of chili every city. Shipments carried out in East Java also do not have an optimal value to meet the number of requests. The poor delivery plan also caused errors in arranging inventory to make deliveries. The East Java government needs a way to analyze the distribution of chili by planning scheduling to improve the ability to fulfill chili demand using the Distribution Requirement Planning (DRP) method. Planning using this DRP method can produce an analysis of the gross needs and needs of chili in each city with the level of service used in the safety stock is 90%, with a normal distribution table that is equal to 1.28.
REAR COVER Saiful Bukhori
INFORMAL: Informatics Journal Vol 3 No 1 (2018): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

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Abstract

INFORMASI DALAM KOLABORASI PERENCANAAN, PERAMALAN, PEMENUHAN PADA RANTAI PASOKAN PERUSAHAAN AGROINDUSTRI Wiji Utami; Saiful Bukhori; Markus Apriono
UNEJ e-Proceeding Dinamika Global: Rebranding Keunggulan Kompetitif Berbasis Kearifan Lokal
Publisher : UPT Penerbitan Universitas Jember

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Abstract

Information Systems Collaborative Planning, Forecasting and Compliance (CPFR) is increasingly used to improve supply chain performance. This study uses panel data to examine the learning curve CPFR between PT. Seed Citra Asia, and one of the partners in the field distributors. Identified two key components of CPFR, namely Colaboratif Forecasting (CF) and Colaboratif Replenishment (CR), shows a different learning curve. There is an increased forecasting accuracy immediately after execution CPFR but the rate of increase slowed from time to time, while inventory levels increased initially and begin to decline after a certain period. There are different learning effects in terms of inventory levels when the product is then replaced with a second product. The second product has a lower inventory levels than earlier products.
Sugar Production Forecasting System in PTPN XI Semboro Jember using Autoregressive Integrated Moving Average (ARIMA) Method Januar Adi Putra; Saiful Bukhori; Faishal Basbeth
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1988

Abstract

There is a lot of entrepreneurial competition in the production of goods or services in the world, especially in Indonesia, especially the production of staple goods, namely sugar. The problem that is often faced at Sugar Factory PTPN XI Semboro Jember is the lack of management that is neatly organized and efficient, which makes this company less working optimally. Often there is a lack and excess of sugar production which makes the sugar does not have the maximum value, the sugar has been damaged, and sales at a reduced price because the sugar is not as efficient as the initial product. From these various problems, it can reduce profits from the company. From these problems it can be concluded that the company needs a system that can organize the management of the company, and is able to forecast production in the future. In this research will make a forecasting system using the method of Autoregressive Integrated Moving Average (ARIMA), where this method is divided into three methods, namely the Autoregressive (AR) method, the Moving Average (MA) method, and the Autoregressive Integrated Moving Average (ARIMA) method, which preceded by checking stationary data, and modeling the Autoregressive Integrated Moving Average (ARIMA) method. Forecasting is done using production data for the previous 12 years from the company. The system is made to facilitate management that is less organized and displays predictions for the next production period. The results of this forecasting system are to determine the amount of production each year needed in this company. From the results of the ARIMA method modeling, the right ARIMA method is obtained by the ARIMA / AR (1,0,0), ARIMA / MA (0,0,1), and ARIMA (1,0,1) methods. The test results found that the average value of Mean Absolute Percentage Error (MAPE) in the Autoregressive (AR) method was 17%, the Moving Average (MA) method was 19%, and the Autoregressive Integrated Moving Average (ARIMA) method was 15%.
Co-Authors Ahmad Fauzal Adifia Ahmad Firdaus Ababil Ahmad Firdaus Ababil Al Munawir Anam, M Khairul Ancah Caesarina Novi Marchianti Antonius Cahya Prihandoko Basbeth, Faishal Bayhaqqi Bayhaqqi Bukhori, Hilmi Aziz Dewi Kholifatul Ummah Dewi Rokhmah Dharmawan, Tio Diah Adistia Diah Adistia A Diah Ayu Retnani Wulandari Fahruddin Arrasyid Alfansuri Faishal Basbeth Feby Indriana Yusuf Feby Sabilhul Hanafi Firman Firman Furqon, Muhammad Ariful FX Ady Soesetijo Gayatri Dwi Santika Gusfan Halik Hairul Anam Hanesya, Arini Farihatul Haryanto, Kurniawan Wahyu Hastungkara, Duhita Husnul Hotimatus s Husnul Hotimatus Sahroh I Ketut Eddy Purnama januar adi putra, januar adi Krisnha Dian Ayuningtyas Lucky Lhaura Van FC, Lucky Lhaura Luh Putu Ratna Sundari Mahamad, Abd Kadir Malik Qilsi, Fatkhur Ruli Markus Apriono Maulia Azizah Maulina Azizah Mauridhi Heri Purnomo Mochamad Hariadi Mohammad Ovi Sanjaya Mohammad Zarkasi Muhammad Bagus Rizqi Alvian Muhammad Noor Dwi Eldianto Mustika Rahmasuci Mustika Rahmasuci Nafolion Nur Rahmat, Nafolion Nur Negoro, Wahyu Saptha Nur Kholis Mansur Nuryadi Nuryadi Oktalia Juwita Oktavia, Nelly Puspitarini, Niken Wahyu Putra, Januar Adi PUTRI WULANDARI R., Windi Eka Y. Rebecca La Volla Nyoto Saon, Sharifah Sari, Meylita Shasha Nur Faadhilah Sonya Sulistyono Sri Hartatik Sri Hernawati Sri Wahyuni Sumijan Sumijan Surmayanti, Surmayanti Syaiful Anam Tio Dharmawan Umroh Makhmudah Vivi Sefrinta Izza Afkarina Wijaya, Angga Ari Wiji Utami Windi Eka Yulia Retnani Yudha Alif Aulia Yudha Alif Auliya Yudhi Tri Gunawan Yunarni, Wiwik