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Muhammad Yusuf
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Institut Sains & Teknologi AKPRIND Jl. Kalisahak 28 Kompleks Balapan Yogyakarta 55222
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Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
Prosiding SNAST
Published by Institut Sains dan Teknologi AKPRIND
ISSN : 1979911X     EISSN : -     DOI : -
Core Subject : Science, Engineering,
Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering
SNAST merupakan seminar nasional rutin yang diselenggarakan oleh IST AKPRIND Yogyakarta, sejak tahun 2008 dan diselenggarakan setiap 2 tahun sekali
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 200 Documents
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DETEKSI TAHU AMAN KONSUMSI DENGAN CITRA DIGITAL OBJEK MENGGUNAKAN METODE K-NEAREST NEIGHBOR Isnanto Nugroho; Luay Nabila El Suffa; Erliana Dewi
PROSIDING SNAST Prosiding SNAST 2018
Publisher : IST AKPRIND Yogyakarta

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Abstract

In Indonesia, tofu has two color variants, white tofu and yellow tofu. White tofu is the result of processed soybeans without coloring mixture while yellow tofu is the result of processed soybeans added with coloring, usually turmeric is used as a natural dye from yellow tofu. Nowadays a lot of cheating is done by tofu producers such as using textile dyes as a substitute for food coloring, where textile dyes have a bad impact on health if consumed continuously. Therefore, further research is needed regarding tofu coloring. This study aims to identify the safe consumption of tofu, namely tofu with natural dyes and tofu that is unsafe consumption, namely yellow tofu given synthetic dyes using textile dyes. Identification using tofu features such as contrast, energy, correlation, and homogenity to get the GLCM value, then the value is analyzed using the K-Nearest Neighbor (K-NN) method. The research begins with the stage of taking object images from know. The next step is doing image analysis. The final stage of this analysis is to draw conclusions to distinguish safe tofu consumption and know unsafe consumption. Previously conducted training of 42 tofu data to get knowledge base by using order feature feature extraction, then performed tests on 11 random data tofu images. The test results with the K-Nearest Neighbor method with k = 7 obtained an accuracy of 90.91%.
PENERERAPAN METODE DEMPSTER-SHAFER DALAM PEMBANGUNAN SISTEM PAKAR DIAGNOSA PENYAKIT KULIT Fandli Supandi; Arif Budiman; Kusrini _
PROSIDING SNAST Prosiding SNAST 2018
Publisher : IST AKPRIND Yogyakarta

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Abstract

The skin is the outermost part of the human body because they have experienced many skin problem. Skin diseases are usually due to bacterial, fungal, viral, and allergic infections. But there are still many people who do not care about skin health and lazy to consulting with a dermatologist because of several factors such as economy, busyness, doctor working time, and so forth. With this the authors will build an expert system that can diagnose about skin diseases that can be accessed online through the browser. The way of data collection is done by direct interview with the dermatologist. Data obtained from experts then written in the design of the system by using the method Dempster-Shafer, php programming language and mysql database. The dempster-shafer method for calculating probabilities is based on the values ​​of an expert on the symptoms felt by the sufferer affecting the type of illness. The result of this research is a prototype application of expert diagnosis system that allows patients to diagnose symptoms that he felt through accessible websites without must to consulting with dermatologist. Results compared to the diagnosis with the expert and by the system more or less equal to the difference of about 5 - 8%.
KLASIFIKASI KUALITAS MADU LEBAH MENGGUNAKAN SISTEM SPEKTROFOTOMETER DAN MACHINE LEARNING BERBASIS SINGLE BOARD COMPUTER Sagita Rochman; M Nushron Ali Mukhtar
PROSIDING SNAST Prosiding SNAST 2018
Publisher : IST AKPRIND Yogyakarta

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Abstract

Honey is a natural sweet substance produced by bees with nectar flower ingredients containing various nutrients such as carbohydrates, proteins, amino acids, vitamins, minerals, plant pigments and aromatic components. Honey consists of water (17%), fructose (38.2%), glucose (31.3%), other disaccharides (5%), melezitose (<0.1%), erlose (0.8%) , other oligasakarida (3.6%), minerals (0.2%), amino acids (0.3%). It also contains anti-microbial substances, which can prevent some disease on human. Because it has a high economic value and contains unique substances, honey is often falsified. Honey can be faked in various ways by mixing natural artificial sweetener components or by giving the sugar (sucrose) into the honey, so it is dangerous if given to infants or people suffering from diabetes mellitus. The design of this research used spectrofotometer methode and pattern recognition algorithm (machine learning) system for classifying honey quality. It is based on honey having a chromophore group responsible for absorbance, electronic transition and color giver. We can also knowing the type of honey by using pattern recognition algorithm support vector machine.In this research is used three types of honey to using a spectrophotometer at a wavelength of 500 nm, the absorbance obtained in randu honey type of 0.523-0.654, coffee honey for 0.735-0.824, and rubber honey by 0.947-1.043.
PERANCANGAN APLIKASI BERBASIS MOBILE PENILAIAN KENAIKAN TINGKAT TAEKWONDO MENGGUNAKAN METODE WEIGHTED PRODUCT Putri Taqwa Prasetyaningrum; Santoso Pamungkas
PROSIDING SNAST Prosiding SNAST 2018
Publisher : IST AKPRIND Yogyakarta

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Abstract

The development of Taekwondo in Indonesia fairly rapidly, it is seen from the large number of community who follow martial arts Taekwondo. JTC is the abbreviation of Jitae Taekwondo Club Progo. Progo JTC has activities or routine that became the agenda, including one time in three months organizing exams increase the belt is centralized in the dojang (College) is designated as a place of exams in the area of Kulon Progo. Assessment process the exam rate hikes taekwondo is still done manually so that take a long time and the calculation of its value is also less accurate. Therefore, this research will be developed in the design of mobile-based application by using one of the methods that is Fuzzy Multiple Attribute Decission Making (MADM) there are five criteria that must be met by the standard include: physical condition, basic movements, poomsae taegeuk, kyoruki, hosinsul kyukpa, and discipline. Fuzzy Multiple Attribute Decission Making (MADM) was able to select the best alternative from a number of existing alternative. One of the concepts of Fuzzy MADM problem resolution methods i.e. Weighted Product Methods (WP) so that it can facilitate Coaches in making a decision to hike rates in Taekwondo with a success rate of 98%.
PEMODELAN PROSES SISTEM KEPAKARAN DOKTER Julia Kurniasih; Yuni Ambar S; Wahit Desta; Yulius Nahak T; Faizul Ikhsan
PROSIDING SNAST Prosiding SNAST 2018
Publisher : IST AKPRIND Yogyakarta

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Abstract

Indonesian Doctors Association (IDI) as a professional organization requires an information system is used to store, process and display data of doctor's expertise. The patient’s needs in searching information about doctors, specialization and the schedule of practice; and the stake holder’s needs about information related to the doctor’s expertise must be fulfilled by the information system, in the form of website development. For the purpose of website development need to be modeled system processes that describe the structure and flow of data, rules, and procedures. Process modeling of expertise using flowchart. The modelling elements include actors (admin, doctors, patients and other users), roles (defining capacity of actors), activity (defining business process) and product (information provided by expertise system). The simulation of process modelling of expertise system illustrates the process searching information on the name of the practice institution, the license and schedule of practice. The practice permit can be checked through the local district health website. Other information displayed includes doctor's profile, devotion activity, research and publication; and that statistics.
MEMBANGUN APLIKASI WEB FRONT END DENGAN TEKNIK JSON (JAVA SCRIPT OBJECT NOTATION) Joko Triyono; Prita Haryani; Muhammad Farid Ali Sa’fii
PROSIDING SNAST Prosiding SNAST 2018
Publisher : IST AKPRIND Yogyakarta

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Abstract

The development of technology has become very extraordinary, in the era of 4.0, the information technology sector has become a very important part in every activity or work. In web-based programming techniques also undergo significant changes, JSON (Java Script Object Notation) is one of the data management techniques that will change the DBMS (Database Management Systems) paradigm in terms of design and implementation. Likewise in terms of process speed, JSON offers a very tempting speed, combined with local storage on HTML5. Of course these developments will also affect the need for information so that the addition of modules and / or facilities in the information system must certainly be done without disturbing the existence of information systems that are currently running. Modular systems become things that need to be considered in the development of information systems, with a modular system that allows developers to work in parallel at different places at the same time without having to wait for each other, sharing databases is not a problem for now. The result of this research is a technique in building a web front end by using JSON technique as a data provider and implemented with HTML5 and PHP, by embedding it on the server side with database and Server side on Client as a link between systems. So that obtained a presentation of information on a web application on the client without connecting to the database directly. The client is built in addition to using PHP / Web-based applications and can also use Android-based applications.
PERBANDINGAN KINERJA ALGORITMA NAIVE BAYES DAN BAYESIAN NETWORK DALAM KLASIFIKASI MASA STUDI MAHASISWA Mariana Windarti
PROSIDING SNAST Prosiding SNAST 2018
Publisher : IST AKPRIND Yogyakarta

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Abstract

One factor that influences the quality of college is that student performance can be measured through the length of the study period. The faster study period of student, then better student's performance, and vice versa. Data mining can be interpreted as a process to get useful information from large amount of data so that a knowledge is obtained. This research aims to analyze the comparative performance of probabilistic algorithms namely Naïve Bayes (NB) and Bayesian Network (BN) to classifying the student study period of Universitas Widya Dharma (UNWIDHA) Klaten. Variables for classification are Achievement Index (IP) (1st semester, 2nd semester, and 3rd semester), student school majors and college entrance path. The data used in the form of data are 100 graduates of UNWIDHA. Classification of student study period consisting of study periods <4 years, ≥ 4 & <4.5 years, ≥ 4.5 & <5 years, ≥ 5 & <5.5 years, ≥ 5.5 & <6 and ≥ 6 years. . The results showed that the precision value and recall, BN algorithm were better than NB. On performance measurement with percentage split 90, NB and BN algorithms have the same accuracy value of 80%. Whereas in percentage split 80, BN is superior with an accuracy of 75% while NB is 70%.
PENERAPAN KONSEP INTERNET OF THINGS (IoT) SEBAGAI MONITORING TEGANGAN DAN ARUS PADA MOTOR INDUKSI 1 PHASE Heru Susanto; Amir Hamzah
PROSIDING SNAST Prosiding SNAST 2018
Publisher : IST AKPRIND Yogyakarta

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Abstract

The implementation of technology based on the Internet of Things (IoT) is widely used now and one of them is to monitor a voltage and current on the performance of 1 phase induction motor. Monitoring can be done in real time wherever and whenever using a PC, laptop, and smartphone as long as it is connected to the internet network. This research aims to design, describe the way it works, and implement a voltage and current monitoring system on a 1 phase induction motor using the concept of Internet of Things (IoT). The system is designed using an AC voltage sensor and AC current sensor which is connected to an analog multiplexer using CD4051 whose the output from this multiplexer will be connected to an analog I/O on the NodeMCU which is equipped with ESP8266 as an IoT module. AC voltage and current data will be processed by NodeMCU which will then be displayed on a 2x16 LCD and also published to a Thingspeak that can be stored and downloaded in CSV format. The results of this research has indicated that the design, way of working, and implementation of the monitoring system of voltage and current in a 1 phase induction motor using the IoT concept has been able to display results that are able to display the corresponding voltage and current data between those displayed on the LCD and also published on Thingspeak in real time. The test results show that there is a difference of 5% of the voltage data from the voltmeter with the LCD display and also there is a difference of 16% of the AC amperemeter current data with the LCD display. There is no difference between the voltage and current data displayed on the LCD and Thingspeak even though there is a gap between the time to display data on the LCD and Thingspeak.
ANALISIS EFEKTIFITAS IMPLEMENTASI APLIKASI PEMBELAJARAN PENDIDIKAN ANTI KORUPSI BERBASIS MULTIMEDIA SEBAGAI UPAYA REVITALISASI NASIONALISME Yani Prihati; Sinta Tridian Galih; Tri Karyanti
PROSIDING SNAST Prosiding SNAST 2018
Publisher : IST AKPRIND Yogyakarta

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Abstract

Corruption has become a serious problem in Indonesia. Acts of corruption can be done anywhere, by anyone, and by the amount that tends to increase. This is why the government established the KPK as an independent institution that has the task of corruption action and prevention. As one form of implementation of preventive duties, the KPK organizes anti-corruption education programs at every level of education. This shows that the world of education is very important to be involved in combating corruption among the younger generation. The context of this research is to implement a multimedia-based anti-corruption education learning media that has been developed previously called MedPAK. The object of this research is 5 universities in Semarang, Pati, Salatiga and Pekalongan involving 273 students as respondents. The method used is survey. The tests were conducted to measure the effect of MedPAK on the outcomes of anti-corruption education learning outcomes. The result of the test shows that the implementation of MedPAK improves the total score of learning achievement of anti corruption education by 12.0% so it can be concluded that MedPAK can support the improvement of the quality of anti-corruption education as one of the nationalism revitalization efforts of towards the improvement of the nation's competitiveness.
PERANCANGAN DETEKTOR QR _CODE SERTA PENGUKURAN JARAK SENSITIVITAS KAMERA SMART PHONE UNTUK EFISIENSI WAKTU PENYORTIRAN PRODUK. Uminingsih _; Miftah Nur Ikhsan
PROSIDING SNAST Prosiding SNAST 2018
Publisher : IST AKPRIND Yogyakarta

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Abstract

To read the validity (according to the design) of a data (text or numeric) which is written on an object in large quantities is very time consuming. To ease the work, the data is made in the form of a secret code (QR-Code) which can be updated at any time by an authorized admin. Code reading can be done using QR-Reader and scanned using the camera. In order to detect the validity of the data, it is really time efficient, so the system outputs display are designed (red = data is not appropriate, green = data is appropriate, QR not found = incorrect data). By utilizing camera facilities and application programs wich are existed on smart phones, a QR code detection system can be created. In this paper, the stages of detector design, the system testing, and the measurement of smartphone camera sensitivity as a function of distance are described. The object wich is detected is the expiration date on the product packaging. The results of the data detection system wich was build show in accordance with the design. The results of measurement of smartphone camera sensitivity in reading QR codes are: for Sony smartphones (D2305 series) the minimum distance is: 4.5 cm and a maximum of 19 cm, while for Samsung (j11OG SM_ series) a minimum distance of: .4 cm and a maximum of 16 cm. The build system can help the sorting work of product more efficiently.

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