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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmiah Teknologi dan Rekayasa TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Ilmiah KOMPUTASI Jurnal Teknik Elektro dan Komputer TRIAC Jurnal E-Komtek Indonesian Journal of Electrical Engineering and Computer Science Jurnal Indonesia Sosial Teknologi
Ajib Setyo Arifin
Universitas Indonesia
Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences

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SISTEM MONITORING GAS CO PADA PARKIRAN BASEMENT MALL DI JAKARTA MENGGUNAKAN METODE REAL-TIME BERBASIS INTERNET OF THINGS (IoT) Adli, Fikri Faisal; Arifin, Ajib Setyo
Jurnal Ilmiah Teknologi dan Rekayasa Vol 24, No 3 (2019)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/tr.2019.v24i3.2394

Abstract

Kadar kualitas udara yang ada pada suatu daerah menjadikan tolak ukur keamanan dan kebersihan daerah tersebut. Begitu juga dengan area tertutup seperti parkiran basement. Persentase kadar gas yang terperangkap di parkiran basement jauh lebih tinggi dibandingkan tempat tertutup lainnya. Hal ini dikarenakan pada area tersebut terdapat aktivitas keluar masuk kendaraan sehingga potensi terperangkapnya gas karbon monoksida (CO) yang berasal dari kendaraan sangat tinggi. Berdasarkan kondisi tersebut diperlukan untuk dibuat sistem monitoring kadar gas CO di area parkir. Pada penelitian ini, dibuat sistem monitoring kadar gas CO dengan metode real-time berbasis Internet of Things (IoT). Sensor gas yang dipakai adalah MQ-7 yang digabungkan dengan mikrokontroler Arduino Uno. Untuk jalur pengiriman data secara real-time digunakan WiFi modul ESP8266. Data yang telah diambil oleh sensor akan disimpan dalam ThingSpeak cloud melalui ESP8266. Berdasarkan hasil monitoring didapatkan nilai kadar gas CO parkiran basement cukup tinggi, yaitu dengan nilai rata-rata 15,52 ppm dan nilai tertinggi ada pada 17,27 ppm.
Recent development of smart traffic lights A’isya Nur Aulia Yusuf; Ajib Setyo Arifin; Fitri Yuli Zulkifli
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v10.i1.pp224-233

Abstract

Increased traffic flow causes congestion, especially in large cities. Even though congestion is not unusual, traffic jams still result in very high economic and social losses. Several factors cause congestion, one of which is traffic lights. Therefore, a mechanism is needed so that traffic lights can intelligently and adaptively manage signal time allocation according to traffic flow conditions. A traffic light with this type of mechanism is known as a smart traffic light. Smart traffic light cycle settings can be grouped based on the traffic density, scenarios for emergency vehicles, and the interests of pedestrians. This paper analyzes the methods and technologies used in the development of smart traffic light technology from the perspective of these three situations as well as the development of smart traffic light technology in the future.
The prediction of mobile data traffic based on the ARIMA model and disruptive formula in industry 4.0: A case study in Jakarta, Indonesia Ajib Setyo Arifin; Muhammad Idham Habibie
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.12989

Abstract

Disruptive technologies, which are caused by the cellular evolution including the Internet of Things (IoT), have significantly contributed data traffic to the mobile telecommunication network in the era of Industry 4.0. These technologies cause erroneous predictions prompting mobile operators to upgrade their network, which leads to revenue loss. Besides, the inaccuracy of network prediction also creates a bottleneck problem that affects the performance of the telecommunication network, especially on the mobile backhaul. We propose a new technique to predict more accurate data traffic. This research used a univariate Autoregressive Integrated Moving Average (ARIMA) model combined with a new disruptive formula. Another model, called a disruptive formula, uses a judgmental approach based on four variables: Political, Economic, Social, Technological (PEST), cost, time to market, and market share. The disruptive formula amplifies the ARIMA calculation as a new combination formula from the judgmental and statistical approach. The results show that the disruptive formula combined with the ARIMA model has a low error in mobile data forecasting compared to the conventional ARIMA. The conventional ARIMA shows the average mobile data traffic to be 49.19 Mb/s and 156.93 Mb/s for the 3G and 4G, respectively; whereas the ARIMA with disruptive formula shows more optimized traffic, reaching 56.72 Mb/s and 199.73 Mb/s. The higher values in the ARIMA with disruptive formula are closest to the prediction of the mobile data forecast. This result suggests that the combination of statistical and computational approach provide more accurate prediction method for the mobile backhaul networks.
Ship Speed Estimation using Wireless Sensor Networks: Three and Five Sensors Formulation Ajib Setyo Arifin; Dina Kusuma Wahyuni; Muhammad Suryanegara; Muhammad Asvial
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 4: August 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i4.7596

Abstract

Intrusion detection on the sea is an important surveillance problem for harbor protection, border security, and commercial facilities such as oil platforms, fisheries facilities and other marine wealth. Widely used methods for ship detection are using radar or satellite which is very expensive. Besides the high cost, the satellite image is easy affected by the cloud. And it is difficult to detect small boats or ships on the sea with marine radar due to the noise or clutters generated by the uneven sea surface. In this paper, we propose ship speed estimation by taking advantage of ship-generated wave’s characteristics with Wireless Sensor Network (WSN). We use a grid fashion for sensor node deployment that can be clustered into three and five sensors. We propose the ship speed formulation for each type of claster. We use three sensors, we may expect to improve energy efficiency by involving small number of sensor for detection. We use five sensors, we may expect to improve accuracy of detection. We also propose an algorithm for detection by incorporating individual sensor detection. The individual sensor detection produces a time stamp that records the ship-generated waves intruding the sensors.
Design of a portable radio-frequency-identification reader capable to reading a user memory bank for smart-building energy management Ajib Setyo Arifin; M. B. Fathinah Hanun; Eka Maulana; I Wayan Mustika; Fitri Yuli Zulkifli
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 3: September 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i3.pp1538-1549

Abstract

Communication is an important factor in smart-building energy management (SBEM). Many communications technologies have been applied to SBEM, including radio-frequency identification (RFID). RFID has been used not only for identification but also for carrying information, which is stored in a user memory bank attached to the tag. To access the user memory bank, an RFID reader should comply with ISO 18000-6C standards. The greatest challenge of RFID-reader technology is its short communication range, which limits the sensing area. To overcome this problem, this paper proposes a portable RFID reader built to an ISO 18000-6C standard to extend the sensing area due to its moveability. The reader is designed using low-cost devices widely available on the market for ease of duplication and assembly by researchers, educators, and startups. The proposed RFID reader can read passive tags with distances up to 12 and 5.5 m for line-of-sight (LOS) and non-line-of-sight (NLOS) communication, respectively. The minimum received-signal-strength indicators (RSSIs) for LOS and NLOS are found to be −63.75 and −59.66 dBm, respectively. These results are comparable with those of non-portable RFID readers on the market.
Lessons Learned from the Quality of Experience (QoE) Assessment of 4G Mobile Technology in Indonesia Muhammad Suryanegara; Fery Andriyanto; Ajib Setyo Arifin
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i3.pp1203-1211

Abstract

The purpose of this research is to assess the quality of experience (QoE) of 4G mobile technology that is used in the Indonesian market. The study analyzed the results obtained and discussed the lesson learned for stakeholders of the telecommunications industry. Primary data was obtained by conducting a market survey in May 2017, with a confidence level of 95%, representing the 4G subscribers in the Indonesia market. There are three main subjective aspects of QoE: service quality, data speed, and network quality (indicated by stability of signal). The analyses were conducted based on ACR-HR score, comparing users’ experiences of 4G with their previous 3G subscriptions. It was found that, in general, the Indonesian market perceived 4G as offering a better experience than 3G. However, one of the important lessons that can be learned is that network operators should provide a more stable signal, as the market gave a lower score for this aspect.
Fast and Accurate Voice Biometrics with Deep Learning Algorithm of CNN Depthwise Separable Convolution Model and Fusion of DWT-MFCC Methods Haris Isyanto; Ajib Setyo Arifin; Muhammad Suryanegara
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 8, No 3 (2022): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v8i3.24515

Abstract

Theft of private data became a threat of crime in cyberspace. This issue was in line with rapid development of data technology, especially online transactions. To attenuate this problem, voice biometrics was developed as an answer to keep up security identity. This paper develops the voice biometric framework based on Convolutional Neural Network Depthwise Separable Convolution (DSC) model and the fusion of Discrete Wavelet Transform (DWT) and Mel Frequency Cepstral Coefficients (MFCC). Such a scheme has targeted to increase the high accuracy, to reduce the burden of high computational costs and to speed up the performance of classification process time. We conduct three testing performance, i.e. voice Biometric Training Performance, speaker Recognition Performance (”Who is speaking?”), and Speech Recognition performance (”What keyword is uttered?”).  For each of the testing, the results are compared with CNN Standard performance. The training results has shown that CNN DSC model has reduced the amount of training parameters to 364,506, leading to accelerate the performance of training process time to 5.12 minutes. The results of speaker recognition performance has attained the best performance with an accuracy 99.25%, precision 97.14%, recall 98.17% and F1-score 97.28%. The results of speech recognition performance has been able to improve the best performance with accuracy 100%. It can be concluded that CNN DSC with the fusion of DWT- MFCC has outperformed the CNN Standard. The framework can be applied for the identification and verification of user voices accurately, quickly and efficiently for any applications requiring better security performance.
Analysis of Digital Television User Acceptance After Analog Switch-Off (ASO) Implementation in Jabodetabek Arwidya Tantri Agtusia; Akhmad Sarif; Ajib Setyo Arifin
Jurnal E-Komtek Vol 7 No 1 (2023)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v7i1.1169

Abstract

The government officially stopped broadcasting analog television or what is known as Analog Switch Off (ASO) on November 2, 2022, in Jabodetabek. It impacts analog TV users in Jabodetabek, who can no longer receive television broadcasts on their analog televisions. This research aimed to determine user acceptance of digital television broadcasts after implementing ASO in the Jabodetabek area. In the present study, the experience of digital TV users is evaluated using the UTAUT (Unified Theory of Acceptance and Use of Technology) 2 model and the Structural Equation Model (SEM). The data was obtained from a questionnaire distributed through digital media for the Jabodetabek area. According to data processing, the two factors that significantly influence the user experience of digital television broadcasts are the Analog Switch Off (ASO) policy factor and the habit factor. The hypothesized model suitability test fits the resulting data and can affect the Behavioral Intention 41.4.
OPTIMALISASI JUMLAH RING DAN KLUSTER PADA SKEMA ROUTING LORAWAN BERBASIS VARIASI MODEL SEBARAN SENSOR Ajiesastra, Raden Andhika; Arifin, Ajib Setyo; Gunawan, Dadang
Jurnal Teknik Elektro dan Komputer TRIAC Vol 10, No 1 (2023): Mei 2023
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v10i1.19729

Abstract

Teknologi Long Range Wide Area Network (LoRaWAN) yang sangat pesat untuk sistem IoT tidak dapat disangkal karena komunikasi nirkabel LPWAN memimpin dalam skalabilitas, masa pakai, kapasitas, biaya, dan jarak transmisi. terutama karakteristik LoRaWAN yang dapat melakukan transmisi jarak jauh dan konsumsi energi yang rendah. Namun, konfigurasi jaringan yang tepat penting dilakukan untuk proses pertukaran paket data agar semua node dapat terhubung dengan konsumsi energi rendah. Menemukan konfigurasi yang optimal untuk mendapatkan hasil maksimal dari protokol transmisi LoRa merupakan hal yang tidak terpisahkan sebelum penerapan. Distance-Ring Exponential Stations Generator (DRESG) menghadirkan skema perutean yang memungkinkan perutean multi-hop dan mengurangi konsumsi energi node. Penelitian ini menggunakan simulasi model matematis untuk memperbaiki metode tersebut dengan mengimplementasikan pembagian klaster pada busur lingkaran dengan berbagai skema penyebaran node, yang memungkinkan sistem memiliki mekanisme perutean dinamis yang menyesuaikan dengan distribusi node. Hasil simulasi menunjukkan dengan kombinasi skema distribusi node random uniform centered dapat meningkatkan efisiensi energi antara jumlah virtual ring dan node adalah  3 ring dan 6 ring,  nilai bebas atau merata dari div 2 sampai dengan div 8 dengan critical node pada ring 1 dan memiliki energi terendah sebesar 0,56 mJ.
Analisa Penggelaran Frekuensi Radio E-Band oleh Penyeleggara Telekomunikasi Seluler di Indonesia dengan Metode Regulatory Impact Analysis Muhammad Daniel; Setyo Arifin, Ajib
Jurnal Ilmiah Komputasi Vol. 24 No. 2 (2025): Jurnal Ilmiah Komputasi : Vol. 24 No 2, Juni 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.24.2.3777

Abstract

Karakteristik frekuensi radio E-Band dengan kapasitas yang besar dan daya jangkau yang rendah membuat frekuensi radio E-Band menjadi alternatif layanan backhaul terutama di kawasan dense urban dan beberapa kawasan yang masih belum tercover serat optik. Dalam penggunaan frekuensi microwave link, semakin tinggi frekuensinya maka maka membutuhkan bandwidth yang digunakan semakin lebar. Kecenderungan penggunaan bandwidth yang semakin lebar membuat Biaya Hak Penggunaan (BHP) frekuensi radio yang harus dibayarkan oleh penyelenggara telekomunikasi seluler juga semakin besar, sehingga menyebabkan penggunaan frekuensi radio E-Band kurang diminati. Penelitian ini dimaksudkan untuk menganalisis penggelaran frekuensi radio E-Band oleh Penyelenggara Telekomunikasi Seluler di Indonesia dengan menggunakan Metode Regulatory Impact Analysis (RIA). Metode Regulatory Impact Analysis (RIA) digunakan sebagai pendekatan utama dalam penelitian ini untuk mengevaluasi berbagai opsi kebijakan yang berpotensi untuk diterapkan. Pendekatan ini memungkinkan untuk memahami implikasi kebijakan terhadap regulator dan operator sebagai pemangku kepentingan. Penilaian cost-benefit analysis dilakukan dengan menggunakan metode In-depth Interview, hasilnya didapatkan bahwa alternatif kebijakan terkait perubahan Nilai Indeks Bandwidth (Ib) dan Indeks Power (Ip) dapat menjadi pertimbangan dan usulan penetapan Biaya Hak Penggunaan (BHP) frekuensi radio untuk penggelaran frekuensi radio E-Band di Indonesia
Co-Authors Adli, Fikri Faisal Ajiesastra, Raden Andhika Akhmad Sarif Arwidya Tantri Agtusia A’isya Nur Aulia Yusuf Dadang Gunawan Dina Kusuma Wahyuni Fery Andriyanto Fitri Yuli Zulkifli Haris Isyanto I Wayan Mustika Lukianto, Chandra Septian M. B. Fathinah Hanun Maulana, Eka Muhammad Asvial Muhammad Daniel Muhammad Idham Habibie Muhammad Suryanegara Sekar Wangi, Insani Tomoaki Ohtsuki Valdera, Fauzan Yusran Siregar, Ahmad