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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Teknologi Informatika dan Komputer KLIK: Kajian Ilmiah Informatika dan Komputer JIKTI : Jurnal Ilmiah Komputer Terapan dan Informasi
Kasliono Kasliono
Universitas Tanjungpura, Pontianak
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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An Optimal Stock Market Portfolio Proportion Model Using Genetic Algorithm Wahyono Wahyono; Chasandra Puspitasari; Muhammad Dzulfikar Fauzi; Kasliono Kasliono; Wahyu Sri Mulyani; Laksono Kurnianggoro
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 12, No 2 (2018): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.36154

Abstract

To reduce the amount of loss due to investment risk, an investor or stockbroker usually forms an optimal stock portfolio. This technique is done to get the maximum return of investment on shares to be purchased. However, in forming a stock portfolio required a fairly complex calculations and certain skills. This work aims to provide an alternative solution in the problem of forming the optimal and efficient stock portfolio composition by designing a system that can help decision making of investors or stockbrokers in preparing stock portfolio in accordance with the policy and risk investment. In this work, determination of optimal stock portfolio composition is constructed by using Genetic Algorithm. The data used in this work are the 4 selected stocks listed on the LQ45 index in 2017. Meanwhile, the calculation of profit and loss rate utilizes a single index model theory. The efficiency of the algorithm has been examined against the population size and crossover and mutation probabilities. The experimental results show that the proposed algorithm can be used as one of solutions to select the optimal stock portfolio.
PERANCANGAN DAN DESAIN SISTEM INFORMASI PADA DINAS PEKERJAAN UMUM PROVINSI KALIMANTAN BARAT Kartika Sari; Hirzen Hasfani; Kasliono Kasliono
Jurnal Ilmiah Komputer Terapan dan Informasi Vol. 1 No. 2 (2022): Vol. 1 No. 2: JIKTI - Agustus 2022
Publisher : Program Studi D-III Teknologi Informasi Politeknik 'Aisyiyah Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (691.142 KB)

Abstract

Dinas Pekerjaan Umum Provinsi Kalimantan Barat merupakan salah satu instansi pelaksana Otonomi Daerah di Bidang Pekerjaan Umum yang dipimpin oleh Kepala Dinas yang dalam melaksanakan tugas pokok dan fungsinya berada di bawah dan bertanggung jawab kepada Gubernur Kalimantan Barat. Tugas Pokok dari Dinas Pekerjaan Umum Provinsi Kalimantan Barat adalah melaksanakan urusan pemerintahan daerah di bidang pekerjaan umum Provinsi Kalimantan Barat berdasarkan asas otonomi dan tugas pembantuan. Secara umum fungsi dari Dinas Pekerjaan Umum Provinsi Kalimantan Barat antara lain adalah untuk melaksanakan perumusan kebijaksanaan teknis di bidang pekerjaan umum sesuai dengan rencana strategis pemerintah daerah. Berdasarkan hasil wawancara dengan pihak Dinas Pekerjaan Umum Provinsi Kalimantan Barat, diperoleh informasi bahwa Dinas Pekerjaan Umum Provinsi Kalimantan Barat memerlukan adanya penanganan layanan secara akurat dan cepat untuk memperoleh masukan dan kritikan dari masyarakat dalam menjalankan tugas pokok dan fungsinya. Dengan demikian perlu adanya sebuah sistem informasi pada Dinas Pekerjaan Umum Provinsi Kalimantan Barat yang dapat diakses secara umum oleh masyarakat atau pengguna lembaga pemerintahan ini. Website ini diharapkan dapat menjadi salah satu cara bagi Dinas Pekerjaan Umum untuk mempermudah dan memperlancar arus informasi kepada pihak instansi dan masyarakat luas sehingga informasi yang jelas tentang Dinas Pekerjaan Umum Provinsi Kalimantan Barat sehingga dapat meningkatkan kinerja karyawan agar menjadi lembaga yang memiliki kepercayaan yang tinggi dari masyarakat. Pembuatan desain interface pada Sistem Informasi Dinas Pekerjaan Umum ini menggunakan CMS Drupal, CSS dan HTML.
Pemodelan Prediksi Harga Ethereum (Atribut: Open, High dan Low) dengan Algoritma Extreme Learning Machine Kasliono Kasliono; Niken Candraningrum; Kartika Sari
Building of Informatics, Technology and Science (BITS) Vol 5 No 1 (2023): Juni 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i1.3567

Abstract

The price of cryptocurrencies such as Ethereum often experiences high fluctuations and is difficult to predict. This study aims to predict Ethereum prices using the Extreme Learning Machine (ELM) algorithm which is a fast and efficient machine learning method. Ethereum price data is collected from CoinMarketCap by scraping the data using CoinmarketCap Scraper from the cryptocmd library using Python. An ELM model is built by changing the number of hidden nodes to determine the optimal prediction model of Ethereum prices based on the smallest average MAPE. Model performance was evaluated using the mean absolute percentage error (MAPE) on the test data set. The results show that the ELM model built can predict Ethereum prices with an accuracy of 96.96%. The MAPE obtained is 3.035334%, with 9 hidden nodes in the ELM network architecture model that was built. This shows that the model can explain about 96.96% of the variation in Ethereum price data. Therefore, the ELM model can be used as an aid in making investment decisions
Rekomendasi Pemilihan Laptop Menggunakan Metode Evaluation Based On Distance From Average Solution (EDAS) Berbasis Website Adi Kurnia; Dwi Marisa Midyanti; Kasliono Kasliono
Journal of Computer System and Informatics (JoSYC) Vol 4 No 4 (2023): August 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i4.3837

Abstract

Laptop kini telah menjadi kebutuhan utama dalam berbagai hal. seperti pekerjaan kantor dan tugas kuliah. Perkembangan fitur dan spesifikasi laptop yang semakin beragam. membuat konsumen kebingungan untuk memilih laptop yang sesuai dengan kebutuhan. Berbagai merek dan tipe laptop yang dijual dengan harga bervariasi juga membuat konsumen kesulitan dalam menentukan pilihan laptop yang sesuai dengan kebutuhannya. Sering kali konsumen membeli laptop dengan spesifikasi yang tidak sesuai dengan kebutuhannya. hal ini dikarenakan memahami spesifikasi laptop sebelum membelinya akan menghabiskan banyak waktu. Untuk mengatasi permasalahan tersebut. diperlukan sebuah sistem yang dapat memberikan rekomendasi untuk pemilihan laptop. Pada penelitiam ini. dibangun sebuah sistem rekomendasi pemilihan laptop dengan menggunakan metode Evaluation Based On Distance From Average Solution (EDAS). Penelitian ini menggunakan 60 data laptop dengan 6 kriteria yaitu harga. kapasitas ram. kapasitas penyimpanan. ukuran layar. jenis prosesor dan berat laptop serta menggunakan 4 merek laptop yaitu Asus. Acer. Lenovo dan HP. Pada penelitian ini nilai bobot dari setiap kriteria diperoleh dari 34 responden. kemudian akan dijadikan acuan dalam menentukan laptop yang akan direkomendasikan. Pengujian dilakukan dengan membandingkan hasil perhitungan sistem dan perhitungan manual. hasil perhitungan sistem dan perhitungan manual menunjukan hasil yang identik. hal tersebut menunjukan sistem yang diimplementasikan telah sesuai dengan metode EDAS.
Sistem Pemantauan Suhu, Kelembapan Udara dan pH Air pada Rumah Anggur berbasis Internet of Things Menggunakan Aplikasi Website Mislaini Mislaini; Ikhwan Ruslianto; Kasliono Kasliono
Jurnal Sistem Komputer dan Informatika (JSON) Vol 5, No 1 (2023): September 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6675

Abstract

Grapes are plants that are difficult to grow in tropical climates. It requires specific enviromental conditions as well as special care, with optimal growth of grapes occuring in lowlands (0-300 masl) with a humidity score ranging from 75% - 80% humidity and temperatures between 23°C - 31°C, and a water pH level from 5.5 pH - 7.3 pH. To achieve these ideal conditions, technology in the form of an Internet of Things (IoT) system and a greenhouse is used in order to monitor and control the grapes' growing environment. The use of this technology aims to improve efficiency and productivity by taking into account the temperature, humidity and water pH level as factors which affect the growth, quality, and yield of grapes. Research result shows that the use of IoT technology in controlling temperature and humidity air effectively increases the productivity of grapes. This can be seen from the increase in the number of leaves, stem length, and number of shoots on grapes that were monitored and controlled by the IoT system. The results of testing the accuracy of each sensor by conducting 15 experiments show that the average water pH measurement accuracy is 0.1%, while temperature measurements and air humidity has an average accuracy of 0.1% and 0.3% respectively. In addition, the average response time of the system in controlling mist makers, fans and pumps alkaline is 3 seconds based on 15 tries.
Sistem Informasi Penilaian Prestasi Kerja Pegawai dengan Metode Pengembang Perangkat Lunak Model Waterfall Niken Candraningrum; Ponco Sunarko; Kasliono Kasliono
Journal of Information System Research (JOSH) Vol 5 No 1 (2023): Oktober 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i1.3731

Abstract

Providing an assessment of employee work performance is a method for evaluating their competence with the aim of development to produce competitive employees. A Civil Servant (PNS) who achieves good (high) work performance should get a reward (compensation) that is comparable. It aims to motivate and reward civil servants for improving performance. However, some opportunities can turn into threats if they are not anticipated, such as negative responses from the public if the government is unable to improve the quality of its employees' performance. Inaccurate and ineffective assessments can cause the process of assessing the performance and quality of State Civil Apparatus (ASN) to be inaccurate and inappropriate. Therefore, an assessment system is needed that is relevant, practical, reliable and acceptable so that the assessment results are more accurate good and useful for employees and personnel administration at the Pontianak Fisheries Training and Extension Center (BP3). This system refers to the Waterfall model, where the progress of a process is considered to flow continuously like a waterfall. In the waterfall model, each step must be sequential and you cannot proceed to the next step but must complete the first step then proceed to the second step, and so on. With the system that has been built, the employee performance appraisal process can be well-documented and more transparent. The results of testing using the black box testing method showed that the system functionality could meet all the expected requirement specifications.
Analisis Regresi dan Korelasi untuk Proyeksi Produksi Minyak Bumi dan Gas Alam Indonesia menggunakan Bahasa Pemrograman Python Kasliono Kasliono; Edi Suharmono; Povi Povi; Risca Meriani; Niken Candraningrum
Jurnal Teknologi Informatika dan Komputer Vol 9, No 2 (2023): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v9i2.1756

Abstract

Penelitian ini memiliki tujuan untuk mengetahui suatu cara pendekatan analisis data menggunakan bahasa pemrograman Python yang dapat diterapkan dalam industri minyak bumi dan gas alam serta memprediksi hasil produksi minyak bumi dan gas alam sampai pada tahun 2030. Penggunaan metode dalam penelitian ini yaitu dengan pendekatan deskriptif kuantitatif. Tujuan digunakannya metode ini yaitu untuk menguraikan secara sistematis peristiwa atau kejadian yang terjadi melalui penggunaan angka-angka dalam menganalisis data penelitian ini. Data tersebut kemudian diolah dengan bahasa pemrograman Python menggunakan library seperti Pandas, NumPy, Matplotlib, dan Scikit-Learn. Dalam penelitian ini data diolah dengan cara analisis regresi dan korelasi. Hasil penelitian yang diperoleh yaitu terjadinya penurunan yang cukup signifikan dari hasil prediksi produksi minyak bumi dan gas alam setiap tahunnya. Hasil prediksi produksi minyak bumi dan gas alam yang paling besar terjadi pada tahun 2022 yang menghasilkan minyak bumi sebesar 210.218,41 (000 barel) dan gas alam sebesar 2.709.176 (MMscf). Sedangkan hasil prediksi produksi minyak bumi dan gas alam pada tahun 2030 yaitu sebesar 116.827,69 (000 barel) dan 2.597.292 (MMscf). Minyak bumi dan gas alam dalam penelitian ini mempunyai keterkaitan yang lemah dengan nilai korelasi positif. Nilai korelasi sebesar 0.387558 menunjukkan bahwa adanya kecenderungan ketika produksi minyak bumi meningkat, produksi gas alam juga cenderung meningkat, begitupun sebaliknya.
Sistem Pemantauan Tempat Sampah menggunakan Pemodelan Edge Computing SITI ROKOIYE; URAY RISTIAN; KASLIONO KASLIONO
Jurnal Elkomika Vol 12, No 2 (2024): ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektr
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i2.275

Abstract

ABSTRAKIoT adalah teknologi yang memanfaatkan konektivitas internet untuk menghubungkan perangkat dan bertukar data. Contoh penerapannya adalah pada sistem pemantauan tempat sampah yang melakukan pemantauan kapasitas sampah dari jarak jauh melalui koneksi internet. IoT memiliki tantangan seperti keterlambatan respons data dan ketergantungan pada internet. Oleh karena itu, untuk mengatasi masalah tersebut, dalam penelitian ini diterapkan pemodelan edge computing dengan memanfaatkan edge server. Penggunaan edge server pada sistem dapat memproses dan mengirimkan data dari berbagai tempat sampah. Ketergantungan pada koneksi internet saat melakukan pemrosesan data dari perangkat IoT dapat dikurangi karena edge server melakukan pemrosesan data secara lokal. Pemrosesan dan pengiriman data menggunakan protokol HTTP. Hasil pengujian QoS yang dilakukan dalam penerapan model edge computing pada sistem pemantauan tempat sampah diperoleh nilai rata-rata throughput 1338 bps dan rata-rata delay adalah 115 ms.Kata kunci: Internet Of Things, Pemantauan Tempat Sampah, Edge Computing ABSTRACTIoT is a technology that utilizes internet connectivity to connect devices and exchange data. An example of its application is in a trash bin monitoring system that remotely monitors trash capacity through an internet connection. IoT has challenges such as data response delays and dependence on the internet. Therefore, to overcome these problems, this research applies edge computing modeling by utilizing edge servers. The use of edge servers in the system can process and transmit data from various bins. Dependence on the internet connection when processing data from IoT devices can be reduced because the edge server performs data processing locally. Processing and sending data using the HTTP protocol. The results of QoS testing carried out in the application of the edge computing model in the bin monitoring system obtained an average throughput value of 1338 bps and the average delay is 115 ms.Keywords: Internet of Things, Trash Bin, Edge Computing
Klasifikasi Kecanduan Bermain Game online Pada Remaja Menggunakan Metode Naïve Bayes Classifier Berbasis Website Tika Suci Pania; Rahmi Hidayati; Kasliono Kasliono
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 5 (2024): April 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i5.1782

Abstract

The use of electronic devices such as cellphones, laptops, and others is often found for various reasons, including playing online games. Online games are very popular because they can relieve stress and can be played by various ages, one of which is teenagers aged 10-19 years. However, online games can be detrimental to teenagers. If a teenager plays online games for a long time, that teenager will become dependent on online games. This research creates a system that can help teenagers find out their level of addiction to online games, so that teenagers can overcome their addiction problems. This system classifies addiction to playing online games in teenagers with mild, moderate and severe levels using the Naïve Bayes Classifier method. This system can help teenagers control themselves when playing online games. In determining the level of online game addiction, 5 attributes are used, namely age, gender, place of play, type of game, and length of play. Testing with 150 data and tested with nine comparisons of training data and test data, namely 10:90, 20:80, 30:70, 40:60, 50:50, 60:40, 70:30, 80:20, and 90: 10. Testing is carried out using a confusion matrix to produce accuracy, precision, recall and error rate values. The highest accuracy value is found in comparing training data and test data of 40:60. Accuracy results were 93%, precision was 90%, recall was 89%, and error rate was 6.67%.
Penerapan Model Waterfall dalam Pengembangan Perangkat Lunak Pemantauan Tanaman Anggur Berbasis Mobile Menggunakan IoT Kasliono Kasliono; Ikhwan Ruslianto; Yunita Erniajan
Journal of Computer System and Informatics (JoSYC) Vol 5 No 3 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i3.5099

Abstract

Unfavorable tropical climatic conditions as well as the status of grapes as not a national priority commodity, have led to high production costs and low productivity in grape cultivation in the pontianak area. So this research has The purpose to conceptualize and develop an IoT-based Android application that allows observation of grape plants in the Greenhouse. Thus, it is hoped that this application can provide solutions for farmers in monitoring plant conditions in real-time, increasing productivity, and improving the quality of grape crops in the area. In previous research, The app is technically less user-friendly, not suitable for the average users, especially farmers. Key components include an Android app, a data processing system, and sensors measuring values like air temperature, humidity, and soil moisture.. The data processing system receives data from sensors and sends it to the Android app via the internet network.. The Android app allows users to view Greenhouse environmental statistics. The research was carried out in stages, beginning with hardware and software ideation and ending with real-world testing of the application. According to the research, the system's implementation is functional, nodes can send data and be displayed on mobile applications, and tests were conducted using the black box testing method, which yielded a "successful" statement on eight tests performed on the Android mobile application.
Co-Authors Adi Kurnia Chasandra Puspitasari Dwi Marisa Midyanti Edi Suharmono Fauzi, Muhammad Dzulfikar Hirzen Hasfani Ikhwan Ruslianto Kartika Sari Kartika Sari Laksono Kurnianggoro Mislaini Mislaini Niken Candraningrum Ponco Sunarko Povi Povi Rahmi Hidayati Risca Meriani SITI ROKOIYE Syamsul Bahri Tika Suci Pania Tri Handayani Uray Ristian Wahyono Wahyono Wahyu Sri Mulyani Yunita Erniajan